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Keyword

domain gap

Description: A domain gap is a difference between data distributions in distinct environments or domains that can impair machine-learning model performance.
OpenAlex ID: keywords/domain-gap
Person Transfer GAN to Bridge Domain Gap for Person Re-identification
2018 · Longhui Wei, Shiliang Zhang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2,113
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Learning from Simulated and Unsupervised Images through Adversarial Training
2017 · Ashish Shrivastava, Tomas Pfister, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 1,859
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Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-training
2018 · Yang Zou, Zhiding Yu, et al. · Lecture notes in computer science · 1,463
Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes
2017 · Yang Zhang, Philip David, et al. · IEEE International Conference on Computer Vision (ICCV) · 506
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Detecting Deepfakes with Self-Blended Images
2022 · Kaede Shiohara, Toshihiko Yamasaki · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 495
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Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation
2023 · Yunhao Bai, Duowen Chen, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 439
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Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID
2020 · Ge, Yixiao, Zhu, Feng, et al. · arXiv (Cornell University) · 422
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Unsupervised Intra-Domain Adaptation for Semantic Segmentation Through Self-Supervision
2020 · Fei Pan, Inkyu Shin, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 401
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Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose
2020 · Hongsuk Choi, Gyeongsik Moon, et al. · Lecture notes in computer science · 394
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Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data
2021 · Oscar Manas, Alexandre Lacoste, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 342
Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning
2020 · Yu Deng, Jiaolong Yang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 329
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Adaptive Transfer Network for Cross-Domain Person Re-Identification
2019 · Jiawei Liu, Zheng-Jun Zha, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 321
RingMo: A Remote Sensing Foundation Model With Masked Image Modeling
2022 · Xian Sun, Peijin Wang, et al. · IEEE Transactions on Geoscience and Remote Sensing · 318
Instance Adaptive Self-training for Unsupervised Domain Adaptation
2020 · Ke Mei, Chuang Zhu, et al. · Lecture notes in computer science · 294
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Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation
2020 · Myeongjin Kim, Hyeran Byun · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 292
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Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification
2020 · Yang Zou, Xiaodong Yang, et al. · Lecture notes in computer science · 277
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BOP Challenge 2020 on 6D Object Localization
2020 · Tomáš Hodaň, Martin Sundermeyer, et al. · Lecture notes in computer science · 269
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Self-Ensembling With GAN-Based Data Augmentation for Domain Adaptation in Semantic Segmentation
2019 · Jaehoon Choi, Taekyung Kim, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 264
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Fake it till you make it: face analysis in the wild using synthetic data alone
2021 · Erroll Wood, Tadas Baltrusaitis, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 256
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RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors
2023 · Rui-Qi Wu, Zheng-Peng Duan, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 249
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Bringing Old Photos Back to Life
2020 · Ziyu Wan, Bo Zhang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 246
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An Empirical Study of Remote Sensing Pretraining
2022 · Di Wang, Jing Zhang, et al. · IEEE Transactions on Geoscience and Remote Sensing · 234
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From degrade to upgrade: Learning a self-supervised degradation guided adaptive network for blind remote sensing image super-resolution
2023 · Yi Xiao, Qiangqiang Yuan, et al. · Information Fusion · 228
Unsupervised Pre-training for Person Re-identification
2021 · Dengpan Fu, Dongdong Chen, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 224
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Thyroid region prior guided attention for ultrasound segmentation of thyroid nodules
2022 · Haifan Gong, Jiaxin Chen, et al. · Computers in Biology and Medicine · 220
Works count: 2,758
Citation count: 42,710
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